We’ve Released a COVID-19 Knowledge Graph: Introducing BioGrakn Covid. We’re excited to release an open source knowledge graph to speed up the research into Covid-19.
We’re excited to release an open source knowledge graph to speed up the research into Covid-19. Our goal is to provide a way for researchers to easily analyse and query large amounts of data and papers related to the virus.
BioGrakn Covid makes it easy to quickly trace information sources and identify articles and the information therein. This first release includes entities extracted from Covid-19 papers, *and from additional datasets including, *proteins, genes, disease-gene associations, coronavirus proteins, protein expression, biological pathways, and drugs.
For example, by querying for the virus _SARS-CoV-2, _we can find the associated human protein, _proteasome subunit alpha type-2 _(PSMA2), a component of the proteasome, implicated in _SARS-CoV-2 _replication,andits encoding gene (_PSMA2). _Additionally, we can identify the drug _carfilzomib, _a known inhibitor of the proteasome that could therefore be researched as a potential treatment for patients with Covid-19. To support the plausibility of this association and its implications, we can easily identify papers in the Covid-19 literature where this protein has been mentioned.
By examining these specific relationships and their attributes, we are directed to the data sources, including publications. This will help researchers to efficiently study the mechanisms of coronaviral infection, the immune response, and help to find targets for the development of treatments or vaccines more efficiently.
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